This is an argument, but it’s also fundamentally comparing a computer that works out of the box to one that doesn’t.

I really don't get this comment section. You get a Macbook then you have a perfectly usable machine which will run all the mainstream software you ask of it, and then you get natively compiled well supported developer tooling, no VM required. The best argument for Chromebooks is that you can throw away ChromeOS and install Linux or use Linux in a VM. These are not even close to the same.

I think folks want to hate Apple more than they want to admit that Chromebooks kinda suck.

Yes

You literally just compared a laptop running arch to a mac. You’re not the target audience lmao

The laptop ships with Windows 11 but its parts are compatible with Linux too.

That is an important note though, the price includes a valid Windows 11 license.

That wasn’t the point. You’re a person who runs arch, that means most likely your requirements for a computer are VERY different than the target for this Mac. There’s always some other computer you can buy, but most people will just buy the Mac

> You’re a person who runs arch, that means most likely your requirements for a computer are VERY different than the target for this Mac

I do software development, video + image editing, writing and gaming. My requirements are it runs well, I can depend on it and I don't mind if it has a fan.

I only replied because the OP's comment made it seem like it's difficult to find a good laptop in the $600 range. If macOS is optional you can get quite decent specs.

Picked up a T14s in Shenzhen for ~$250 US and it’s a screamer. Best thing for sure

Paid over 2,000 usd 2 years ago for t14s and even then it was worth it, now it's almost 10x cheaper. Incredible machine though refurbs often have the lower end of configurations and with soldered ram etc it's not possible to upgrade.

This new modular thinkpad will be crazy for refurb market, I wonder how is Lenovo going to prevent that eating into their sales. This probably means that corporate bulk purchases are majority of their sales and they don't fear to canibalize themselves which makes you wonder why they switched to soldered ram - incredibly unpopular move - at all.

who was bought by openai

Great feedback :) also support for the v2 versions of the moonshine models should be out today!

There's an open PR in the repo which will be merged which adds this support. Post processing is an optional feature if you want to use it, and when using it, end to end latency can still be under 3 seconds easily

That’s awesome! The specific thing that was causing the long latency was the image LLM call to describe the current context. I’m not sure if you’ve tested Handy’s post-processing with images or if there’s a technique to get image calls to be faster locally.

Thank you for making Handy! It looks amazing and I wish I found it before making FreeFlow.

Not currently

I'm looking into porting this into transcribe-rs so handy can use it.

The first cut will probably not be a streaming implementation

Discovering Handy was a revelation - light years ahead of any other tool in this space IMO. Thank you for building it!

okay... so I cannot get this to run on my mac. maybe something with the burn kernels for quantized?

will report a GitHub issue

this should be fixed

thanks for your contribution :)